Triple
T32907098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night of the Comet |
E841771
|
entity |
| Predicate | timeSinceCometEventInStory |
P175859
|
FINISHED |
| Object | one day |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: one day | Statement: [Night of the Comet, timeSinceCometEventInStory, one day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSinceCometEventInStory Context triple: [Night of the Comet, timeSinceCometEventInStory, one day]
-
A.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
B.
timeCoMainEvent
Indicates that two or more events occur as co-main events at the same time or within the same overarching event timeframe.
-
C.
timeSinceEventCommemorated
Indicates the amount of time that has passed since a particular event was commemorated.
-
D.
timeSinceFirstFolio
Indicates the amount of time that has elapsed since the first folio (initial instance or record in a sequence) was created or recorded.
-
E.
timeBehind
Indicates that one entity occurs or is positioned later in time than another, lagging behind it on a temporal scale.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:19 a.m.